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.github/workflows/test.yml
uses: actions/upload-artifact@v3 with: name: coverage-html path: htmlcov # https://github.com/marketplace/actions/alls-green#why check: # This job does nothing and is only used for the branch protection if: always() needs: - coverage-combine runs-on: ubuntu-latest steps: - name: Dump GitHub context env:
Others - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 4.4K bytes - Viewed (1) -
docs/de/docs/tutorial/background-tasks.md
Sie erfordern in der Regel komplexere Konfigurationen und einen Nachrichten-/Job-Queue-Manager wie RabbitMQ oder Redis, ermöglichen Ihnen jedoch die Ausführung von Hintergrundtasks in mehreren Prozessen und insbesondere auf mehreren Servern.
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.github/actions/notify-translations/app/main.py
done_translation_message = f"~There's a new translation PR to be reviewed: #{pr.number} by @{pr.user.login}~ Good job! This is done. 🍰☕" # Normally only one language, but still for lang in langs: if lang not in lang_to_discussion_map: log_message = f"Could not find discussion for language: {lang}"
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Wed Sep 27 23:01:46 GMT 2023 - 12.4K bytes - Viewed (0) -
docs/en/docs/deployment/concepts.md
### Example Tools to Run at Startup Some examples of the tools that can do this job are: * Docker * Kubernetes * Docker Compose * Docker in Swarm Mode * Systemd * Supervisor * Handled internally by a cloud provider as part of their services * Others...
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.github/workflows/build-docs.yml
- master pull_request: types: - opened - synchronize jobs: changes: runs-on: ubuntu-latest # Required permissions permissions: pull-requests: read # Set job outputs to values from filter step outputs: docs: ${{ steps.filter.outputs.docs }} steps: - uses: actions/checkout@v4 # For pull requests it's not necessary to checkout the code but for master it is
Others - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Apr 02 03:12:00 GMT 2024 - 4.8K bytes - Viewed (0) -
docs/tr/docs/project-generation.md
* **PGAdmin** PostgreSQL database admin tool'u, PHPMyAdmin ve MySQL ile kolayca değiştirilebilir. * **Flower** ile Celery job'larını monitörleme. * **Traefik** ile backend ve frontend arasında yük dengeleme, böylece her ikisini de aynı domain altında, path ile ayrılmış, ancak farklı kapsayıcılar tarafından sunulabilirsiniz.
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docs/en/docs/tutorial/background-tasks.md
They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.
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docs/en/data/external_links.yml
author_link: https://medium.com/@mike.p.moritz link: https://medium.com/@mike.p.moritz/using-docker-compose-to-deploy-a-lightweight-python-rest-api-with-a-job-queue-37e6072a209b title: Using Docker Compose to deploy a lightweight Python REST API with a job queue - author: '@euri10' author_link: https://gitlab.com/euri10 link: https://gitlab.com/euri10/fastapi_cheatsheet
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docs/en/docs/release-notes.md
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docs/en/docs/async.md
In this scenario, each one of the cleaners (including you) would be a processor, doing their part of the job. And as most of the execution time is taken by actual work (instead of waiting), and the work in a computer is done by a <abbr title="Central Processing Unit">CPU</abbr>, they call these problems "CPU bound". ---
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